Create embedding models from configurations with a from_config
classmethod instead of abusing the dataclass post_init
function.
#2343
Workflow file for this run
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name: CI | |
on: | |
push: | |
branches: [ main ] | |
pull_request: | |
branches: [ main ] | |
# Allows to run this workflow manually from the Actions tab on GitHub. | |
workflow_dispatch: | |
jobs: | |
test-ubuntu: | |
name: "test on ${{ matrix.python-version }} on ${{ matrix.os }}" | |
runs-on: "${{ matrix.os }}" | |
strategy: | |
matrix: | |
python-version: ["3.10"] | |
os: [ubuntu-latest] | |
steps: | |
- uses: actions/checkout@v3 | |
- name: Set up Poetry | |
run: pipx install poetry | |
- name: Set up Python ${{ matrix.python-version }} | |
uses: actions/setup-python@v4 | |
with: | |
python-version: ${{ matrix.python-version }} | |
cache: 'poetry' | |
- name: Install Chirp and its dependencies | |
run: | | |
sudo apt-get update | |
sudo apt-get install libsndfile1 ffmpeg | |
poetry install | |
- name: Test with unittest | |
run: poetry run python -m unittest discover -s chirp/tests -p "*test.py" |